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Related Experiment Video

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Spectrum Sensing Using Co-Prime Array Based Modulated Wideband Converter.

Wanghan Lv1, Huali Wang2, Shanxiang Mu3

  • 1School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. 313104002286@njust.edu.cn.

Sensors (Basel, Switzerland)
|May 9, 2017
PubMed
Summary

This study introduces a co-prime array (CA) based modulated wideband converter (MWC) for spectrum sensing. The novel method enhances noise averaging and reduces sampling rates, improving wideband signal monitoring capabilities.

Keywords:
co-prime arrayminimal sampling ratemodulated wideband converterspectrum sensing

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Area of Science:

  • Signal Processing
  • Electrical Engineering
  • Wireless Communications

Background:

  • Monitoring wideband signals in the frequency domain is hardware-restricted.
  • Existing methods like multicoset sampling and modulated wideband converters (MWC) offer partial solutions.
  • Conventional MWC systems suffer from common receiving noise across all channels.

Purpose of the Study:

  • To propose a novel spectrum sensing method using a co-prime array (CA) based modulated wideband converter (MWC).
  • To leverage array-based advantages for improved noise handling and reduced sampling rates.
  • To enhance the performance of wideband spectrum sensing.

Main Methods:

  • Implementation of a co-prime array (CA) within the modulated wideband converter (MWC) architecture.
  • Utilizing independent noise corruption at each sensor for noise averaging.
  • Employing second-order statistical properties for direct power spectrum estimation.
  • Reducing the minimal sampling rate through a decreased number of sampling channels.

Main Results:

  • The proposed CA-based MWC system allows for effective noise averaging.
  • Direct power spectrum estimation is achieved using second-order statistics.
  • A further reduction in the system's minimal sampling rate is demonstrated.
  • Simulation results indicate superior performance compared to traditional spectrum sensing methods.

Conclusions:

  • The co-prime array based MWC offers significant advantages over conventional MWC for spectrum sensing.
  • The method provides enhanced performance through improved noise handling and reduced sampling requirements.
  • This approach represents a promising advancement in wideband signal monitoring technology.